{"title":"发现恐怖分子网络中的层次结构","authors":"M. A. Shaikh, Jiaxin Wang","doi":"10.1109/ICET.2006.335966","DOIUrl":null,"url":null,"abstract":"The network structure of a group determines its strengths and weaknesses. A general knowledge of the prevalent models of terrorist organizations and its analysis methods leads to a better understanding of their capabilities. One important method is centrality analysis, which determines the relative importance of vertices (terrorists) in a network based on their connectivity within the network structure. In this paper, we address the hierarchy property sharing among a large amount of networks. Based upon the degree centrality (DC) and eigenvector centrality (EC) measure, a method is proposed to discover the hierarchical structure of a terrorist network. This hierarchical structure sheds light on the leadership and the likely sub groups embedded in the network","PeriodicalId":238541,"journal":{"name":"2006 International Conference on Emerging Technologies","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Discovering Hierarchical Structure in Terrorist Networks\",\"authors\":\"M. A. Shaikh, Jiaxin Wang\",\"doi\":\"10.1109/ICET.2006.335966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The network structure of a group determines its strengths and weaknesses. A general knowledge of the prevalent models of terrorist organizations and its analysis methods leads to a better understanding of their capabilities. One important method is centrality analysis, which determines the relative importance of vertices (terrorists) in a network based on their connectivity within the network structure. In this paper, we address the hierarchy property sharing among a large amount of networks. Based upon the degree centrality (DC) and eigenvector centrality (EC) measure, a method is proposed to discover the hierarchical structure of a terrorist network. This hierarchical structure sheds light on the leadership and the likely sub groups embedded in the network\",\"PeriodicalId\":238541,\"journal\":{\"name\":\"2006 International Conference on Emerging Technologies\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Conference on Emerging Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICET.2006.335966\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2006.335966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Discovering Hierarchical Structure in Terrorist Networks
The network structure of a group determines its strengths and weaknesses. A general knowledge of the prevalent models of terrorist organizations and its analysis methods leads to a better understanding of their capabilities. One important method is centrality analysis, which determines the relative importance of vertices (terrorists) in a network based on their connectivity within the network structure. In this paper, we address the hierarchy property sharing among a large amount of networks. Based upon the degree centrality (DC) and eigenvector centrality (EC) measure, a method is proposed to discover the hierarchical structure of a terrorist network. This hierarchical structure sheds light on the leadership and the likely sub groups embedded in the network